Gad Benram, Author at DoiT International

Remote Coding with PyCharm and Google Cloud

Gad Benram 28th July 2021

A quick tutorial on how to configure your PyCharm to run on a remote GCP instance using an ssh remote interpreter What are we trying

Seven Tips for Forecasting Cloud Costs (with FB’s Prophet)

Gad Benram 8th February 2021

Who said that predicting the future is difficult? All you need is a Prophet (and some reliable infrastructure) My team and I recently built a

Programming an Autonomous Car with TensorFlow

Gad Benram 25th November 2019

AWS released an awesome tool to teach Reinforcement Learning to beginners, but only exposed a limited interface for controlling it. We’ve hacked it and turned

Codeless ML with TensorFlow and AI Platform

Gad Benram 2nd July 2019

Advances in AI frameworks enable developers to create and deploy deep learning models with as little effort as clicking a few buttons on the screen.

Kaggle Days Paris — Winning Solution

Gad Benram 14th February 2019

Kaggle Days is (almost) officially the most interesting event to meet, learn and compete against the most talented data scientists worldwide. And this is how

Predicting the Geospatial Availability of Mobility Services like Bird and Lime

Gad Benram 18th December 2018

Building and deploying production-grade machine learning models can be somewhat tricky. Even with technologies like Google Cloud AutoML, Cloud ML Engine and other out-of-the-box machine

XGBoost or TensorFlow?

Gad Benram 2nd October 2018

Both XGBoost and TensorFlow are very capable machine learning frameworks but how do you know which one you need? Or perhaps you need both? In machine

SageMaker ML: 5 Easy Steps to Predict Taxi Ride Fare!

Gad Benram 4th September 2018

TL;DR: Amazon SageMaker offers an unprecedented easy way of implementing machine learning pipelines, significantly shortening the time to market for data scientists and engineers. “photo

Don’t get the Google Cloud Bill Shock!

Gad Benram 13th August 2018

With Google BigQuery ML you can now predict your Google Cloud spend in just a few minutes and without leaving your BigQuery Console UI. Introduction

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